Experiment with modern neural network architectures and techniques driven by research
Design and implement machine learning perception solutions in new domains
Collaborate with AI Data Team, ML engineers, and Cloud infrastructure engineers
AMP applies AI-powered sortation to modernize recycling infrastructure and maximize waste value. Recognized as a top workplace in Colorado, AMP has hundreds of global deployments and is backed by top-tier investors.
Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues.
Assist in debugging model workflows and identifying root causes across the ML stack.
Collaborate with senior engineers to improve tooling, documentation, and operational processes.
Torc is an autonomous driving leader since 2007 and now part of Daimler, building software for automated trucks. The culture is collaborative, energetic, and team-focused.
Design and optimize training and post-training pipelines for large language models.
Improve model quality through supervised fine-tuning, reinforcement learning, and evaluation.
Build PyTorch-based training infrastructure and optimize distributed training across multi-GPU environments.
Lightning AI builds an end-to-end platform for developing, training, and deploying AI systems, founded in 2019. They are a global company with offices in New York, San Francisco, Seattle, and London, backed by major venture capital firms, and foster a builder culture that values urgency, ownership, and open communication.
Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
Lead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.
Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.
Lime is the largest global shared micromobility business, on a mission to build a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership.
Integrate and deploy automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data.
Build and maintain data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database.
Own CI/CD using GitHub Actions, write production code in Python, and operate on Databricks and AWS infrastructure.
Torc is an autonomous driving technology company that develops software for automated trucks. Founded in 2007 and now part of Daimler, the company has a collaborative culture and offers competitive benefits.
Design, train, and improve large-scale machine learning models for recommendation and personalization, leveraging modern deep learning architectures.
Own end-to-end delivery of major ML system components, from problem framing to production rollout, with cross-functional partners.
Optimize distributed training, model efficiency, and online inference performance while ensuring low-latency, high-throughput production systems.
Reddit is a community of communities built on shared interests, passion, and trust, hosting authentic conversations. With over 100,000 active communities and about 130 million daily active users, Reddit is one of the internet's largest sources of information.
Lead and grow the Offline Perception team, setting technical direction and managing engineers.
Own roadmap for offline perception model development and evaluation, with cross-functional collaboration.
Drive process improvements and represent team strategy to senior leadership.
Torc develops autonomous vehicle software for automated trucks, pioneering self-driving technology since 2007. As part of the Daimler family, they focus on commercializing solutions with a collaborative and energetic culture.
Deliver end-to-end computer vision projects for power grid defect detection, thermal anomalies, vegetation monitoring, and surveillance.
Advance ML research by implementing novel algorithms from papers and conducting systematic experiments for production viability.
Develop production-grade Python libraries and pipelines covering the full ML lifecycle from data ingestion to model serving.
Buzz uses AI to analyze and maintain power grid infrastructure for enhanced safety and efficiency. The team is composed of experienced ML engineers working in a collaborative, autonomous environment.
Support training, fine-tuning, and evaluation of neural foundation models.
Build and maintain data pipelines for petascale neurobehavioural datasets.
Prototype tools and demos to apply trained models to robotics and embodied AI tasks.
Netholabs builds AI grounded in biological intelligence by recording petascale neurobehavioural data to train neural foundation models. They are a small, fast-moving research team focused on AI, robotics, and personalized intelligence.
Taking ML or LLM proof-of-concept to production for large enterprises.
Designing and hardening data and training pipelines for enterprise ML systems.
Building LLM and RAG systems with retrieval quality, evaluation and cost control.
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
Design and maintain scalable ML infrastructure for deploying models to edge devices worldwide.
Own the model compilation platform, optimizing neural networks with TensorRT for hardware-specific inference.
Collaborate with Data Scientists and Embedded Engineers to automate deployment, monitoring, and reliability.
Hudl provides video analysis and data tools that help sports teams and athletes improve their performance. The company fosters a collaborative culture and has been named one of Newsweek's Top 100 Global Most Loved Workplaces.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.